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Analysis of merged transcriptomic and genomic datasets to identify genes and pathways underlying residual feed intake in growing pigs
Improvement of feed efficiency (FE) in pigs is an important milestone in order to reduce the economic and environmental impact of pig production. The goal of finding biomarkers for FE has persisted for decades. However, due to the complexity of the FE trait, these goals have still not been met. Here...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763391/ https://www.ncbi.nlm.nih.gov/pubmed/36536008 http://dx.doi.org/10.1038/s41598-022-26496-1 |
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author | Ibragimov, Emil Pedersen, Anni Øyan Xiao, Liang Cirera, Susanna Fredholm, Merete Karlskov-Mortensen, Peter |
author_facet | Ibragimov, Emil Pedersen, Anni Øyan Xiao, Liang Cirera, Susanna Fredholm, Merete Karlskov-Mortensen, Peter |
author_sort | Ibragimov, Emil |
collection | PubMed |
description | Improvement of feed efficiency (FE) in pigs is an important milestone in order to reduce the economic and environmental impact of pig production. The goal of finding biomarkers for FE has persisted for decades. However, due to the complexity of the FE trait, these goals have still not been met. Here, we search for quantitative trait loci (QTL), candidate genes, and biological pathways associated with FE using both genotype and RNA-seq data. We obtained genotype and colon epithelium RNA-seq data for 375 and 96 pigs, respectively. In total, a genome-wide association study (GWAS) and differential expression (DE) analysis led to detection of three QTL on SSC9 and 17 DE-genes associated with FE. Possible intersection points between genes located in QTL and DE-genes were found on levels of transcription factor-target interaction. Moreover, cis-eQTL analysis revealed associations between genotype and expression levels of three DE-genes and three genes located in the GWAS QTLs, which may establish the connection between genotype and phenotype through DE. Finally, single nucleotide polymorphism calling using RNA-seq data for genes located in GWAS QTLs revealed 53 polymorphisms of which eleven were missense variants. |
format | Online Article Text |
id | pubmed-9763391 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97633912022-12-21 Analysis of merged transcriptomic and genomic datasets to identify genes and pathways underlying residual feed intake in growing pigs Ibragimov, Emil Pedersen, Anni Øyan Xiao, Liang Cirera, Susanna Fredholm, Merete Karlskov-Mortensen, Peter Sci Rep Article Improvement of feed efficiency (FE) in pigs is an important milestone in order to reduce the economic and environmental impact of pig production. The goal of finding biomarkers for FE has persisted for decades. However, due to the complexity of the FE trait, these goals have still not been met. Here, we search for quantitative trait loci (QTL), candidate genes, and biological pathways associated with FE using both genotype and RNA-seq data. We obtained genotype and colon epithelium RNA-seq data for 375 and 96 pigs, respectively. In total, a genome-wide association study (GWAS) and differential expression (DE) analysis led to detection of three QTL on SSC9 and 17 DE-genes associated with FE. Possible intersection points between genes located in QTL and DE-genes were found on levels of transcription factor-target interaction. Moreover, cis-eQTL analysis revealed associations between genotype and expression levels of three DE-genes and three genes located in the GWAS QTLs, which may establish the connection between genotype and phenotype through DE. Finally, single nucleotide polymorphism calling using RNA-seq data for genes located in GWAS QTLs revealed 53 polymorphisms of which eleven were missense variants. Nature Publishing Group UK 2022-12-19 /pmc/articles/PMC9763391/ /pubmed/36536008 http://dx.doi.org/10.1038/s41598-022-26496-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Ibragimov, Emil Pedersen, Anni Øyan Xiao, Liang Cirera, Susanna Fredholm, Merete Karlskov-Mortensen, Peter Analysis of merged transcriptomic and genomic datasets to identify genes and pathways underlying residual feed intake in growing pigs |
title | Analysis of merged transcriptomic and genomic datasets to identify genes and pathways underlying residual feed intake in growing pigs |
title_full | Analysis of merged transcriptomic and genomic datasets to identify genes and pathways underlying residual feed intake in growing pigs |
title_fullStr | Analysis of merged transcriptomic and genomic datasets to identify genes and pathways underlying residual feed intake in growing pigs |
title_full_unstemmed | Analysis of merged transcriptomic and genomic datasets to identify genes and pathways underlying residual feed intake in growing pigs |
title_short | Analysis of merged transcriptomic and genomic datasets to identify genes and pathways underlying residual feed intake in growing pigs |
title_sort | analysis of merged transcriptomic and genomic datasets to identify genes and pathways underlying residual feed intake in growing pigs |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763391/ https://www.ncbi.nlm.nih.gov/pubmed/36536008 http://dx.doi.org/10.1038/s41598-022-26496-1 |
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